Mohammad Azzeh, Daniel Neagu, Peter Cowling



Analogy estimation is a well known approach for software effort estimation. The underlying assumption of this approach is the more similar the software project description attributes are, the more similar the software project effort is. One of the difficult activities in analogy estimation is how to derive a new estimate from retrieved solutions. Using retrieved solutions without adjustment to considered problem environment is not often sufficient. Thus, they need some adjustment to minimize variation between current case and retrieved cases. The main objective of the present paper is to investigate the applicability of fuzzy logic based software projects similarity measure to adjust analogy estimation and derive a new estimate. We proposed adaptation techniques which take into account the similarity between two software projects in terms of each feature. In earlier work, a similarity measure between software projects based on fuzzy C-means has been proposed and validated theoretically against some well known axioms such as: Normality, Symmetry, transitivity, etc. This similarity measure will be guided towards deriving a new estimate.


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Paper Citation

in Harvard Style

Azzeh M., Neagu D. and Cowling P. (2008). ADJUSTING ANALOGY SOFTWARE EFFORT ESTIMATION BASED ON FUZZY LOGIC . In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-52-4, pages 127-132. DOI: 10.5220/0001876601270132

in Bibtex Style

author={Mohammad Azzeh and Daniel Neagu and Peter Cowling},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,},

in EndNote Style

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,
SN - 978-989-8111-52-4
AU - Azzeh M.
AU - Neagu D.
AU - Cowling P.
PY - 2008
SP - 127
EP - 132
DO - 10.5220/0001876601270132